Computational and experimental insights into phase transformation and sensing performance

The integration of functional shape memory alloys into metallic matrices produced by additive manufacturing has remained largely unexplored. In this work, a superelastic NiTi wire was embedded within an AlSi10Mg matrix fabricated by Laser Powder Bed Fusion and investigated as an intrinsic strain sensor. Ex-situ tensile tests up to 6 % strain revealed a distinct resistivity response directly associated with the onset and progression of stress-induced martensitic transformation. When embedded, the wire's in-situ resistivity measurements up to 2.5 % strain reproduced the same transformation signature, confirming that matrix encapsulation preserved the sensing functionality. Real-time synchrotron X-ray diffraction identified the initiation of the B2→B19′ transformation at ∼1.0 % strain and tracked the evolution of the variant under interfacial constraints. Finite element analysis predicted localized stress amplification at the wire–matrix interface, in close agreement with experimentally observed strain thresholds. The combined experimental and computational results demonstrate the feasibility of embedding NiTi wires as strain sensors, offering high sensitivity, extended strain range, and enhanced stability compared to conventional gauges. These findings establish a foundation for multifunctional smart structures in aerospace, biomedical, or advanced manufacturing applications.

Authors

Publication Details

Journal
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Published
2025-12-01
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational and experimental insights into phase transformation and sensing performance

Daniel Gatões, Francisco Manuel Braz Fernandes, Bernardo Alves, Luís Cacho et al.
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Shape Memory Alloy Transformations
article

Computational and experimental insights into phase transformation and sensing performance

Daniel Gatões, Francisco Manuel Braz Fernandes, Bernardo Alves, Luís Cacho, Maria Augusta Neto, Ana Maria Lara Ramos, Patrícia Freitas Rodrigues, Andersan dos Santos Paula, Maria Teresa Vieira
article en

Abstract

The integration of functional shape memory alloys into metallic matrices produced by additive manufacturing has remained largely unexplored. In this work, a superelastic NiTi wire was embedded within an AlSi10Mg matrix fabricated by Laser Powder Bed Fusion and investigated as an intrinsic strain sensor. Ex-situ tensile tests up to 6 % strain revealed a distinct resistivity response directly associated with the onset and progression of stress-induced martensitic transformation. When embedded, the wire's in-situ resistivity measurements up to 2.5 % strain reproduced the same transformation signature, confirming that matrix encapsulation preserved the sensing functionality. Real-time synchrotron X-ray diffraction identified the initiation of the B2→B19′ transformation at ∼1.0 % strain and tracked the evolution of the variant under interfacial constraints. Finite element analysis predicted localized stress amplification at the wire–matrix interface, in close agreement with experimentally observed strain thresholds. The combined experimental and computational results demonstrate the feasibility of embedding NiTi wires as strain sensors, offering high sensitivity, extended strain range, and enhanced stability compared to conventional gauges. These findings establish a foundation for multifunctional smart structures in aerospace, biomedical, or advanced manufacturing applications.

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Shape Memory Alloy Transformations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.